"Creating an app from files" matching MCP servers:

Enables AI clients to read, write, search, and manage files in an Obsidian vault via MCP over SSE, running standalone without the Obsidian desktop app.

Enables uploading local files to Slack with a message, supporting channels, DMs, threads, and file titles.

Enables coding agents to extract verbatim, intent-relevant spans from large low-density files like logs, CSV, JSON, and HTML, verified against the original file to reduce context usage.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables AI assistants to inspect, create, and report on IFC/BIM files locally, and to open models in a viewer with BCF viewpoint support.

An MCP server that converts files between formats using locally installed tools, with no data leaving your machine and automatic adaptation to available converters.

Lets a coding agent upload files from disk to a Stickafile portal and return a shareable link, with the bytes going straight from disk to storage without entering the model's context. Also lists the portals a token can push to.

An MCP server for creating named checkpoints and snapshots of projects, with selective file restore, content diffs, and artifact preservation, enabling safe recovery from external file changes in Claude Code.

Enables AI agents to download signature-verified Android APKs from RuStore by package name, with no browser, account, or API key required.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

MCP server for Claude Code that consolidates routine setup actions like project scaffolding, skills, landing page builds, guard hooks, images, and icons into a single entry point.

Enables LLM agents to find and safely delete duplicate files using content-based detection, with smart copy prioritization and dry-run mode.

An MCP server for reading, creating, and managing PDF, DOCX, and Excel documents with OCR, styling, categorization, and remote file bridges.

Anonymizes documents via the Stript desktop app locally, ensuring personal data never enters the conversation. Provides tools to anonymize files and clipboard content, fetch results, and restore original values to local files.

Enables AI agents to read and extract text, tables, and image content from files (PDF, DOCX, PPTX, SVG, PNG) within a folder, providing structured data for interpretation by the calling model.

Enables localized file system operations such as listing, reading, editing, creating, deleting, and searching files, scoped to the directory where the server is invoked.

Publish content (HTML, files, or URLs) and get a permanent public URL from any MCP-compatible agent, with local and remote connection options.

Enables downloading real binary files from Egnyte and uploading large files with chunked support, complementing the official Egnyte MCP connector.

MCP server that gives Claude Desktop and other desktop MCP clients filesystem powers—read, write, edit, and manage files like AI coding assistants.

Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.